An Empirical Study on Technical Debt in a Finnish SME. - Valentina Lenarduzzi; Teemu Orava; Nyyti Saarimäki; Kari Systä; Davide Taibi 001 (ESEM, 2019)

On the Accuracy of SonarQube Technical Debt Remediation Time. - Nyyti Saarimäki; Maria Teresa Baldassarre; Valentina Lenarduzzi; Simone Romano 001 (SEAA, 2019)

On the diffuseness of code technical debt in Java projects of the apache ecosystem. - Nyyti Saarimäki; Valentina Lenarduzzi; Davide Taibi 001 (TechDebt@ICSE, 2019)

The Technical Debt Dataset. - Valentina Lenarduzzi; Nyyti Saarimäki; Davide Taibi 001 (PROMISE, 2019)

Does Migrate a Monolithic System to Microservices Decreases the Technical Debt? - Nyyti Saarimäki; Francesco Lomio; Valentina Lenarduzzi; Davide Taibi 001 (CoRR, 2019)

Some SonarQube Issues have a Significant but SmallEffect on Faults and Changes. A large-scale empirical study. - Valentina Lenarduzzi; Nyyti Saarimäki; Davide Taibi 001 (CoRR, 2019)

Methodological Issues in Observational Studies. - Nyyti Saarimäki (ACM SIGSOFT Softw. Eng. Notes, 2019)

Cohort Studies in Software Engineering: A Vision of the Future. - Nyyti Saarimäki; Valentina Lenarduzzi; Sira Vegas; Natalia Juristo; Davide Taibi 001 (ESEM, 2020)

On the diffuseness of technical debt items and accuracy of remediation time when using SonarQube. - Maria Teresa Baldassarre; Valentina Lenarduzzi; Simone Romano 001; Nyyti Saarimäki (Inf. Softw. Technol., 2020)

Does migrating a monolithic system to microservices decrease the technical debt? - Valentina Lenarduzzi; Francesco Lomio; Nyyti Saarimäki; Davide Taibi 001 (J. Syst. Softw., 2020)

Some SonarQube issues have a significant but small effect on faults and changes. A large-scale empirical study. - Valentina Lenarduzzi; Nyyti Saarimäki; Davide Taibi 001 (J. Syst. Softw., 2020)

Technical Debt Impacting Lead-Times: An Exploratory Study. - Valentina Lenarduzzi; Antonio Martini 001; Nyyti Saarimäki; Damian Andrew Tamburri (SEAA, 2021)

A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision. - Valentina Lenarduzzi; Savanna Lujan; Nyyti Saarimäki; Fabio Palomba (CoRR, 2021)

Does code quality affect pull request acceptance? An empirical study. - Valentina Lenarduzzi; Vili Nikkola; Nyyti Saarimäki; Davide Taibi 001 (J. Syst. Softw., 2021)

An Overview and Comparison of Technical Debt Measurement Tools. - Paris Avgeriou; Davide Taibi 001; Apostolos Ampatzoglou; Francesca Arcelli Fontana; Terese Besker; Alexander Chatzigeorgiou; Valentina Lenarduzzi; Antonio Martini 001; Athanasia Moschou; Ilaria Pigazzini; Nyyti Saarimäki; Darius Sas; et al. (IEEE Softw., 2021)

Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering. - Nyyti Saarimäki; Sergio Moreschini; Francesco Lomio; Rafael Peñaloza; Valentina Lenarduzzi (SANER, 2022)

Does Microservices Adoption Impact the Development Velocity? A Cohort Study. A Registered Report. - Nyyti Saarimäki; Mikel Robredo; Sira Vegas; Natalia Juristo; Davide Taibi 001; Valentina Lenarduzzi (CoRR, 2023)

Ignoring Time Dependence in Software Engineering Data. A Mistake. - Mikel Robredo; Nyyti Saarimäki; Rafael Peñaloza; Valentina Lenarduzzi (CoRR, 2023)

A critical comparison on six static analysis tools: Detection, agreement, and precision. - Valentina Lenarduzzi; Fabiano Pecorelli; Nyyti Saarimäki; Savanna Lujan; Fabio Palomba (J. Syst. Softw., 2023)

Cohort Studies for Mining Software Repositories. - Nyyti Saarimäki; Sira Vegas; Valentina Lenarduzzi; Davide Taibi 001; Mikel Robredo (MSR, 2024)

Comparing Multivariate Time Series Analysis and Machine Learning Performance for Technical Debt Prediction: The SQALE Index Case. - Mikel Robredo; Nyyti Saarimäki; Rafael Peñaloza; Davide Taibi 001; Valentina Lenarduzzi (TechDebt@ICSE, 2024)

Evaluating Time-Dependent Methods and Seasonal Effects in Code Technical Debt Prediction. - Mikel Robredo; Nyyti Saarimäki; Davide Taibi 001; Rafael Peñaloza; Valentina Lenarduzzi (CoRR, 2024)

Taxonomy of Software Log Smells. - Nyyti Saarimäki; Donghwan Shin 001; Domenico Bianculli (CoRR, 2024)

Replication package for the Journal of Systems and Software (JSS) submitted article : "Evaluating Time-Dependent Methods and Seasonal Effects in Code Technical Debt Prediction". - Mikel Robredo; Nyyti Saarimäki; Matteo Esposito 001; Davide Taibi 002; Rafael Peñaloza; Valentina Lenarduzzi (Zenodo, 2025)

Official Replication Package of the EMSE Journal Article: "Does Microservice Adoption Impact the Velocity? A Cohort Study". - Nyyti Saarimäki; Mikel Robredo; Valentina Lenarduzzi; Sira Vegas; Natalia Juristo Juzgado; Davide Taibi 001 (Zenodo, 2025)

Does microservice adoption impact the velocity? A cohort study. - Nyyti Saarimäki; Mikel Robredo; Valentina Lenarduzzi; Sira Vegas; Natalia Juristo; Davide Taibi 001 (Empir. Softw. Eng., 2025)